检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:戴俊勉 许全利 胡江云 崔成 DAI Junmian;XU Quanli;HU Jiangyun;CUI Cheng
机构地区:[1]中国铁路广州局集团有限公司,广州510088 [2]中国铁路广州局集团有限公司广州通信段,广州510088 [3]广州市广源电子科技有限公司,广州510075
出 处:《铁道通信信号》2025年第1期64-69,共6页Railway Signalling & Communication
基 金:中国铁路广州局集团有限公司科研课题(2022K045-Z)。
摘 要:针对当前GSM-R进路预告业务故障分析覆盖面窄、工作效能低的现状,研究进路预告业务工作原理、GSM-R接口监测数据,分析铁路局相关设备运维工作要求。利用决策树算法、大数据分析和云计算技术,设计开发GSM-R进路预告故障自动分析系统,实现进路预告故障动态监测、原因自动分析、故障闭环管理和业务指标统计等功能。该系统在测试期间,未发生数据丢失和软硬件故障,进路预告故障动态监测和业务指标统计准确率达到100%,故障原因自动分析正确率大于95%,为GSM-R进路预告业务运用质量提升和同类系统开发、升级提供参考。In view of the current situation of the narrow scope and low operational efficiency of the fault analysis for the high-speed rail route advance notice service,the working principle of the route advance notice service and the GSM-R interface monitoring data are studied and the operation and maintenance requirements of the relevant equipment of the railway bureau are analyzed.Using decision tree algorithms,big data analysis,and cloud computing technology,the GSM-R route advance notice fault automatic analysis system has been designed and developed.This system realizes the functions of dynamic fault monitoring,automatic cause analysis,closed-loop management of fault disposal,and indicator statistics of the route advance notice service.During the testing of the system,there was no data loss or software/hardware failures,the accuracy rates of dynamic fault monitoring and service indicator statistics were both up to 100%,and the accuracy rate of the automatic analysis of fault causes exceeded 95%.The system provides a reference for the improvement of the service quality of the GSM-R route advance notice and the development and upgrade of similar systems.
关 键 词:GSM-R 进路预告 接口监测数据 故障动态监测 故障自动分析
分 类 号:U285.2[交通运输工程—交通信息工程及控制] TN929.5[交通运输工程—道路与铁道工程]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.49